def run(self): parser = Parser() while True: sourceStr = raw_input("Enter an infix expression: ") if sourceStr == "": break try: parser.parse(sourceStr) print parser.parseStatus() except Exception, e: print "Error:" print e
def run(self): parser = Parser() while True: sourceStr = input( "Enter an arithmetic expression or just enter to quit: ") if sourceStr == "": break try: parser.parse(sourceStr) print(parser.parseStatus()) print(parser.tree) except Exception as e: print("Error:") print(e)
def identifyCorpus(corpus, x=-1): """ update corpus with mwedictionaries (type, count, tokens), train, predict and evaluate corpus """ print(XPParams.use_extern_labels) if XPParams.use_extern_labels: Parser.parse(corpus, "") # -> prediction scores = Evaluation.evaluate(corpus) # -> evaluate else: corpus.update() clf = EmbeddingOracle.train(corpus, x) # -> training Parser.parse(corpus, clf) # -> prediction scores = Evaluation.evaluate(corpus) # -> evaluate return scores
class Interpreter(object): def __init__(self, w_m, profile): self.parser = Parser() self.profile = profile self.w_m = w_m self.k_b = KnowledgeBase() def interpret(self, stimulus): self.w_m.push_input() parsed_data = self.parser.parse(stimulus) classes = [] for wrd in parsed_data: matched = self.k_b.match(wrd) if matched: classes.append(matched[0]) for cls in classes: word_class = cls.get_word_class() if word_class == 'noun': self.w_m.percept.nouns.append(cls) elif word_class == 'verb': self.w_m.percept.verbs.append(cls) elif word_class == 'adjective': self.w_m.percept.adjectivs.append(cls) elif word_class == 'adverb': self.w_m.percept.adverbs.append(cls)
def test_pid(self): p = Parser() res = p.parse(self.f, None, False) for pid, trace in res.iteritems(): for timestamp, data in trace.iteritems(): self.assertTrue(pid == data['pid']) self.assertTrue(timestamp == data['timestamp']) for item in ('path', 'timestamp', 'type'): self.assertTrue(item in data)
def test_main(self): p = Parser() res = p.parse(self.f, None, False) self.assertTrue(len(res) == 6) for e in res: self.assertTrue(isinstance(e, dict)) self.assertTrue(isinstance(e['path'], basestring)) self.assertTrue(isinstance(e['version'], basestring))
def run(self): parser = Parser() while True: sourceStr = input("Enter an infix expression: ") if sourceStr == "": break try: tree = parser.parse(sourceStr) print("Prefix:", tree.prefix()) print("Infix:", tree.infix()) print("Postfix:", tree.postfix()) print("Value:", tree.value()) except Exception as e: print("Error:") print(e)
def test_parse(self): for f in self.files: p = Parser() res = p.parse(f, None, False) self.assertTrue( isinstance(res, dict) or \ isinstance(res, list) or \ res is None) res = p.parse(f, None, True) self.assertTrue(isinstance(res, tuple)) self.assertTrue(len(res) == 2) res = p.parse(f, None, False) def_parser = PARSERS_CONFIG.get(p.ext, None) cond = def_parser != None and res != {} or\ def_parser == None and res == {} self.assertTrue(cond)
def test_main(self): p = Parser() res = p.parse(self.f, None, False) self.assertTrue(len(res) == 9) for grp, data in res.iteritems(): self.assertTrue(isinstance(data, list)) for symbol in data: self.assertTrue(isinstance(symbol, dict)) self.assertTrue(isinstance(symbol['name'], basestring)) self.assertTrue( isinstance(symbol['offset'], basestring) or \ isinstance(symbol['offset'], int))
def identifyCorpus(corpus): corpus.update() clf = EmbeddingOracle.train(corpus) Parser.parse(corpus, clf) scores = Evaluation.evaluate(corpus) return scores
def test_main(self): p = Parser() res = p.parse(self.f, None, False) self.assertTrue(len(res) == 9)
def test_trace(self): p = Parser() res = p.parse(self.f, None, False) self.assertTrue(res['trace'] is not None) self.assertTrue(len(res['trace']) == 268)
def test_summary(self): p = Parser() res = p.parse(self.f, None, False) self.assertTrue(res['summary'] is not None) self.assertTrue(len(res['summary']) == 46)
#!/usr/bin/env python import sys import json from utils import * from parsers import Parser if __name__ == '__main__': CIFP = open('CIFP/FAACIFP18', 'r') Lines = CIFP.readlines() parser = Parser() parser.parse(Lines[23029:296000]) with open('CIFP_parsed/CIFP_parsed', 'w') as outfile: json.dump(parser.CIFP_parsed, outfile, sort_keys=True, indent=4)